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Re-mining positive and negative association mining results

Demiriz, Ayhan and Ertek, Gürdal and Atan, Tankut and Kula, Ufuk Re-mining positive and negative association mining results. In: 10th Industrial Conference on Data Mining ICDM 2010, Berlin, Germany (Submitted)

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Abstract

Positive and negative association mining are well-known and extensively studied data mining techniques to analyze market basket data. Efficient algorithms exist to find both types of association, separately or simultaneously. Association mining is performed by operating on the transaction data. Despite being an integral part of the transaction data, the pricing and time information has not been incorporated into market basket analysis so far, and additional attributes have been handled using quantitative association mining. In this paper, a new approach is proposed to incorporate price, time and domain related attributes into data mining by re-mining the association mining results. The underlying factors behind positive and negative relationships, as indicated by the association rules, are characterized and described through the second data mining stage re-mining. The applicability of the methodology is demonstrated by analyzing data coming from apparel retailing industry, where price markdown is an essential tool for promoting sales and generating increased revenue.

Item Type:Papers in Conference Proceedings
Subjects:T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
H Social Sciences > HD Industries. Land use. Labor > HD0028 Management. Industrial Management
Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Q Science > QA Mathematics > QA076 Computer software
ID Code:13747
Deposited By:Gürdal Ertek
Deposited On:16 Feb 2010 11:06
Last Modified:20 Oct 2010 15:45

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